Update app.py

app.py

@@ -258,23 +258,15 @@ def create_interface():
             """
             # 🎯 Performance Benchmarks
             #### **Ringg STT V0** Ranks **1st** Among Top Models, Outperforming OpenAI Whisper Large-v3 and Other Leading Solutions.
+            
+            | Model | Median WER ↓ | Mean WER ↓ |
+            |-------|--------------|------------|
+            | **Elaichi STT (Ringg AI)** | **15.00%** | **15.92%** |
+            | IndicWav2Vec | 19.35% | 20.91% |
+            | VakyanSh Wav2Vec2 | 22.73% | 24.78% |
             """
         )
 
-        with gr.Row():
-            gr.DataFrame(
-                value=[
-                    ["Elaichi STT (Ringg AI)", "15.00%", "15.92%"],
-                    ["IndicWav2Vec ", "19.35%", "20.91%"],
-                    ["VakyanSh Wav2Vec2", "22.73%", "24.78%"],
-                ],
-                headers=["Model", "Median WER ↓", "Mean WER ↓"],
-                datatype=["str", "str", "str"],
-                row_count=3,
-                col_count=(3, "fixed"),
-                interactive=False,
-            )
-
         gr.Markdown(
             """
             -----------------
@@ -286,7 +278,6 @@ def create_interface():
             audio_input = gr.Audio(
                 label="📁 Upload Audio File",
                 type="filepath",
-                sources=["upload"],
                 scale=3,
             )
 
@@ -344,9 +335,10 @@ def create_interface():
 if __name__ == "__main__":
     print("🌐 Launching Ringg STT V0 Gradio Interface...")
     demo = create_interface()
-    demo.queue(concurrency_count=1).launch(
+    demo.queue().launch(
         server_name="0.0.0.0",
-        server_port=int(os.environ.get("PORT", 7860)),
+        server_port=7860,
         share=False,
         show_api=False,
-    )
+        max_threads=2,
+    )